{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T01:43:31Z","timestamp":1778895811357,"version":"3.51.4"},"reference-count":50,"publisher":"Wiley","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Scientific World Journal"],"published-print":{"date-parts":[[2023,7,18]]},"abstract":"<jats:p>This study aimed at evaluating the precision of the segmented tooth model (STM) that was produced by the artificial intelligence (AI) program (CephX\u00ae) with an intraoral scan (IOS) and insignia outcomes. Methods. 10 patients with Cl I malocclusion (mild-to-moderate crowding) who underwent nonextraction orthodontic therapy with the Insignia\u2122 system had IOS and CBCT scans taken before treatment. AI was used to produce a total of 280 STMs; each tooth will be measured from three aspects (apexo-occlusal, mesiodistal, and labiolingual) for DICOM and STL formats. Also, root volume measurements for each tooth generated by using the CephX\u00ae software and Insignia\u2122 system were compared. The software used for these measurements was the OnDemand3D program used for the multiplanar reconstruction for DICOM format and Geomagic\u00ae Control X\u2122 used for STL format. Statistics. An intraclass correlation (ICC) analysis was used to check the agreement between the volume measurement of the segmented teeth generated by using the CephX\u00ae and Insignia\u2122 system. Also, it was used to check the agreement between the STL (IOS), STL (CephX\u00ae), and DICOM tooth models. In addition, it was used to determine the intraexaminer repeatability by remeasuring five randomly selected individuals two weeks after the initial measurement. After confirmation of the data normality using the Shapiro\u2013Wilk test, the right and left tooth models and the differences between the DICOM, CephX\u00ae (STL), and IOS (STL) tooth models were compared using a paired t-test. The STL (IOS), STL (CephX\u00ae), and DICOM tooth models were compared utilizing the ANOVA test. <jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mi>p<\/a:mi>\n                        <a:mo>&lt;<\/a:mo>\n                        <a:mn>0.05<\/a:mn>\n                     <\/a:math>\n                  <\/jats:inline-formula> was set as the statistical significance level. Result. Overall data showed good agreement with ICC. The measurements of the various tooth types on the right and left sides did not differ significantly. Also, there was no significant difference between the three groups. Conclusions. The automatic AI approach (CephX\u00ae) may be advised in the clinical practice for patients with mild crowding and no teeth restorations due to its speed and effectiveness.<\/jats:p>","DOI":"10.1155\/2023\/5933003","type":"journal-article","created":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T20:05:08Z","timestamp":1689710708000},"page":"1-11","source":"Crossref","is-referenced-by-count":19,"title":["The Validity and Reliability of Automatic Tooth Segmentation Generated Using Artificial Intelligence"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6847-837X","authenticated-orcid":true,"given":"Ammar Sh.","family":"Al-Ubaydi","sequence":"first","affiliation":[{"name":"College of Dentistry, University of Baghdad, Baghdad, Iraq"},{"name":"Ministry of Health, Baghdad, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dheaa","family":"Al-Groosh","sequence":"additional","affiliation":[{"name":"Orthodontic Department, College of Dentistry, University of Baghdad, Baghdad, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajodo.2007.11.026"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijom.2008.12.009"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1097\/scs.0b013e3181996803"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1053\/joms.2003.50033"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.4103\/ccd.ccd_743_20"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajodo.2006.03.025"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijom.2006.09.019"},{"issue":"2","key":"8","article-title":"CBCT analysis of impacted maxillary canines","volume":"25","author":"Z. 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